Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images.

Abstract

Authors

• Ran Du
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Shiqi Xie
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Yuxin Fang
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Tae Igarashi-Yokoi
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Muka Moriyama
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Satoko Ogata
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
• Tatsuhiko Tsunoda
  Center for Integrative Medical Sciences, RIKEN Yokohama, Yokohama, 230-0045, Japan. tatsuhiko.tsunoda@riken.jp.
• Takashi Kamatani
  Pulmonary Division, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi Shinjuku-ku, Tokyo 160-8582, Japan.
• Shinji Yamamoto
  Research Institute of Systems Planning, Inc, Tokyo, Japan.
• Ching-Yu Cheng
  Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
• Seang-Mei Saw
• Daniel Ting
  Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
• Tien Y Wong
  Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
• Kyoko Ohno-Matsui
  Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address: k.ohno.oph@tmd.ac.jp.

Keywords

External Resources